2019 IJCNN之GAN（image transfer（face））：Attention-Guided Generative Adversarial Networks for Unsupervis
Attention-Guided Generative Adversarial Networks for Unsupervised Image-to-Image Translation 當前的問題及概述： 通過GAN網絡針對image-to-image translation任務目前只能轉換low-level特徵，而不能轉換high-level特徵，主要原因是生成器無法檢測出圖像中最能體現語義的部
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相關文章
- 1. 2020 IVC之GAN（image transfer）：GANILLA: Generative Adversarial Networks for Image to Illustration Tran
- 2. Generative Adversarial Networks for Hyperspectral Image Classification
- 3. Binary Generative Adversarial Networks for Image Retrieval
- 4. CartoonGAN: Generative Adversarial Networks for Photo Cartoonization
- 5. DM-GAN: Dynamic Memory Generative Adversarial Networks for Text-to-Image Synthesis 論文解讀
- 6. FACE AGING WITH CONDITIONAL GENERATIVE ADVERSARIAL NETWORKS
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- 9. [Style Transfer]——Blood Vessel Geometry Synthesis using Generative Adversarial Networks
- 10. Generative Adversarial Network Architectures For Image Synthesis Using Capsule Networks